Distributed real-time embedded systems: Recent advances, future trends and their impact on manufacturing plant control

Pereira, Carlos Eduardo; Carro, Luigi

doi:10.1016/j.arcontrol.2007.02.005

Cited by 56 publications

(24 citation statements)

References 25 publications

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“…Our current research is focused on exploring formal method as means to improve its mapping into DRE 's architecture. The following two aspects are the main work in the next phase: (1) further improves this method, consider the fault-tolerant of each task to assurance system's schedulability; (2) developing the corresponding tools to support the modeling. Corresponding author:Yunxiang Liu , Email address: yxliu@sit.edu.cn…”

Section: Discussionmentioning

confidence: 99%

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Analyzing real-time schedulability of resource-oriented Distributed Real-time Embedded software

Chen

Liu

Fan

2010

2010 2nd IEEE International Conference on Information Management and Engineering

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As computer systems become increasingly internetworked, Distributed Real-time Embedded (DRE ) software is becoming increasingly common and important, a challenging problem faced by researchers and developers of DRE software is how to devise and implement a method that can effectively analyze requirements in varying operational conditions. In this paper, a Distributed Real-time Embedded net (DREN) is proposed as software design specification modeling tool. The basic tasks, function module and communication process are modeled by using DREN, thus forming the entire application by making use of Petri net's synthesis operation. Time Reachability Graph is adopted to analyze the correctness of DREN model, the basic properties of DRE system are also considered. Finally, a specific example is given to simulate the analytical process, the results show that the method can be a good solution to analyze DRE software.

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Section: Discussionmentioning

confidence: 99%

“…Basically, in a DRE system, if timing constraints are not met, the consequences can be disastrous, including the great damage of resources or even loss of human lives. For example, a brake-by-wire system in a car failing to react within a given time interval can result in a fatal accident [2].…”

Section: Introductionmentioning

confidence: 99%

Analyzing real-time schedulability of resource-oriented Distributed Real-time Embedded software

Chen

Liu

Fan

2010

2010 2nd IEEE International Conference on Information Management and Engineering

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“…In the last decade, there have been significant studies to develop design platforms for intelligent industrial automation systems [21]. These automation systems rely heavily on a distributed computer-based infrastructure, where smart sensors and actuators, intelligent machines, robots, and other automation devices can interact using industrial protocols and take decisions in real time.…”

Section: B Framework For Industrial Automationmentioning

confidence: 99%

A Heterogeneous Simulation and Modeling Framework for Automation Systems

Fennibay¹,

Yurdakul

Şen

2012

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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Recently, new technologies have emerged in industrial automation platforms. A rapid modeling and simulation environment is required to integrate these new technologies with existing devices and platforms to reduce the design effort and time to market. System-level modeling is a popular design technique that provides early simulation, verification, and architectural exploration. However, integration of real devices with system models is quite challenging due to synchronization and hard real-time constraints in industrial automation. SystemC is the most commonly used system-level language in hardware-software codesign. However, SystemC lacks interfaces for the integration of system (virtual) models with real (physical) devices. We introduce the hybrid channel concept to clearly define the integration interface. Hybrid channel incorporates both real-tovirtual and virtual-to-real communication functions by solving synchronization issues while satisfying the real-time constraints.We successfully demonstrated the usability of our framework in industrial systems that utilize BACNet and Ethernet. We also developed a mathematical model that correctly estimates the results of our experiments. To the best of our knowledge, this is the first framework and mathematical model for SystemC in industrial automation domain.

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“…The agent technologies can be developed by C++, Java or other tools such as ZEUS. Finally, the embedded systems are computer resources, which are part of a bigger system [27]. They normally include software, hardware and mechanical parts.…”

Section: The Frameworkmentioning

confidence: 99%